AndreaBozzo/ceres-open-data-index huggingface dataset:
Participatory Processing Data on Matooke generated by NARL & Bioversity in Uganda

[Lien vers la fiche source] This dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the NARL & Bioversity team in Uganda on Matooke within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
NIRS calibration database on fresh mashed Matooke for color & texture at NaCRRI & IITA Uganda

[Lien vers la fiche source] This database contains 1312 NIR spectra of fresh mashed banana samples acquired in NaCRRI (Uganda) by using FOSS DS2500 NIR spectrometer. Banana bunches are harvested at the green-mature stage: when the finger angles are filled but before the fingers start ripening. Each bunch is labeled by genotype and bunch number. Cluster 2 of each bunch is used for acquiring the NIRS on the harvesting day, according to the protocol described in the SOP. Four random fingers of cluster 2 are selected and divided into two equal halves, giving a total of eight halves. Four of the 8 halves are first used for texture analysis using a TA.XT (Stable Micro Systems) texture analizer. The same samples are then mashed using a mottle and a pestle and used for NIRS acquisition. The remaining samples are used to estimate dry matter content, using an oven on 50 g of fresh matter. Cluster 3 of the same bunch is used for colour analysis using a chromameter (CR-400). This dataset combines NIRS spectra, texture and colour.
South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

[Lien vers la fiche source] The dataset contains forest aboveground biomass prediction maps derived from field inventory plot and UAV or airborne LiDAR data over five sites in South Asia and eight sites in Central Africa, together with prediction uncertainty maps. Maps are provided at 100 x 100 m and 40 x 40 m spatial resolution. The dataset is associated to the following publication, where details on underlying data and map generation process can be found: Suraj R. Rodda et al., LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa. Submitted to Scientific Data.
The “Malaysia transport costs” dataset: transportation distances, truck tonnages and costs in Ringgit Malaysia (MYR)

[Lien vers la fiche source] The “Malaysia transport costs” dataset contains transportation distances in km, truck categories by tonnage, cost of transportation per trip, cost per tonne and per km. These data was collected from Malaysian logistic companies. Distances vary from 28 to 527 km, Truck tonnage vary from 1 to 26 tonnes, and transportation costs vary from 140 to 4250 MYR per trip, and from 45 to 1150 MYR per tonne. These data come from the project “Industrial Coordination Demand and Supply of Rubberwood in Peninsula Malaysia” financed by the Malaysia Timber Council. The project was implemented by CIRAD and the Malaysian Forestry Research and Development Board (FRIM), from 2011 to 2012.
Banana and sugar cane plots, Guadeloupe Island, 1969

[Lien vers la fiche source] A map of banana and sugarcane plots was produced from scanned paper maps of Guadeloupe in 1969 published by the French National Geographic Institute. Paper maps have been digitized and georeferenced to be integrated into a Geographic Information System environment. Then, vectorization tools have been used to convert the scanned images (TIF format) into vector-based feature layers (shapefile format) (software: ESRI ArcMap and ArcScan Extension, Redlands, CA, USA). Une carte des parcelles de culture de banane et de canne à sucre a été produite à partir de cartes papier scannées de la Guadeloupe en 1969 publiées par l'Institut National Géographique. Les cartes papiers ont été scannées et géoréférencées pour être intégrées dans un Système d'Information Géographique. Des outils de numérisation ont ensuite été utilisés pour convertir les images scannées (format TIF) en couches vectorielles (format shapefile) (logiciel : ESRI ArcMap and ArcScan Extension, Redlands, CA, USA).
Suitability map for Avian influenza, Asia

[Lien vers la fiche source] A Spatial Multi Criteria Evaluation was applied to map a suitability index (ranging from 0: low suitability to 255: high suitability) for habitat suitability for occurrence of highly pathogenic avian influenza virus H5N1 in domestic poultry in Asia. The method developed by (Stevens et al., 2013) was applied on recent databases of poultry and human populations. Variables included in the study: 1) Domestic waterfowl density, 2) Chicken density, 3) Human population density, 4) Roads, 5) Water, 6) Crops. A full description of the methodology is presented in (Stevens et al., 2013). The present data set includes rasters (spatial resolution: ca 1 km): - the AI suitability map - the normalized criteria
TRANSMAT Gold Standard

[Lien vers la fiche source] This dataset presents a Gold Standard of data annotated on documents from the Science Direct website. The entities annotated are the ones related to permeability n-Ary relations, as defined in the TRANSMAT Ontology (https://ico.iate.inra.fr/atWeb/, https://doi.org/10.15454/NK24ID, http://agroportal.lirmm.fr/ontologies/TRANSMAT) and following the annotation guide also available here. The annotations were performed by three annotators on a WebAnno (doi: 10.3115/v1/P14-5016) server. The four files present (one per annotator, plus a merged version with priority to annotator 1 in case of conflicts on annotated items) were obtained from the output files of the WebAnno tool. They are presented in table format, without reproducing the full text, for copyright purposes. The information available on each annotation are: Doc (the original document), Target (the generic concept covering the annotated item), Original_Value (the annotated item), Attached_Value (an annotated secondary item for disambiguation), Type (the category of the annotated entity, symbolic, quantitative or additimentionnal) and Annotator (the annotator that performed the annotation). The code of the project for wich this Gold Standard was designed is available here: https://github.com/Eskode/ARTEXT4LOD
Gendered boiled cassava product profile in Benin

[Lien vers la fiche source] The WP1 Gendered Food Product Profile for Gari-Eba in Nigeria reflects the final step ([step 5]) of an interdisciplinary five-step methodology developed to identify demand for quality characteristics among diverse user groups along the food chain ([Forsythe et al., 2022]). This methodology includes: [step 1)] interdisciplinary state of knowledge of the product ; [step 2)] gendered food mapping, which includes participatory research with men and women in rural communities regarding their product preferences and priorities; [step 3)] participatory processing diagnosis and quality characteristics ; and [step 4)] consumer studies in rural and urban areas of the product using different RTB varieties.
Gendered boiled cassava product profile in Uganda

[Lien vers la fiche source] The WP1 Gendered Food Product Profile for boiled cassava in Uganda reflects the final step ([step 5]) of an interdisciplinary five-step methodology developed to identify demand for quality characteristics among diverse user groups along the food chain ([Forsythe et al., 2022]). This methodology includes: [step 1)] interdisciplinary state of knowledge of the product ; [step 2)] gendered food mapping, which includes participatory research with men and women in rural communities regarding their product preferences and priorities; [step 3)] participatory processing diagnosis and quality characteristics ; and [step 4)] consumer studies in rural and urban areas of the product using different RTB varieties.
NIRS Database on intact fresh cassava for Dry Matter & Starch at IITA, Nigeria

[Lien vers la fiche source] Cassava samples were havested in Ibadan at 8/25/2021 (20 genotypes) and Ikenne at 8/27/2021 (6 genotypes). Spectra of intact fresh pieces of cassava root, transverse position PT(proximal top), MT(middle top), MB(middle back) and AxB(axial back) was collected. DM and starch analysis were also done on the same sample pieces.
Descriptive sensory analysis data for boiled cassava roots in Uganda.

[Lien vers la fiche source] This file contains descriptive sensory data of boiled cassava that was collected using panel trained following a [standardized methodology]. The data was collected by NaCCRI team in Uganda using RTBfoods [standard operating procedures] developed in work package 2 for the use by trained sensory panel. The cleaning of the data was conducted following guidelines as outlined in [RTBfoods manual].
Descriptive sensory analysis data for Attieke in Côte d'lvoire

[Lien vers la fiche source] Attieke is a fermented and granulated product commonly consumed in Côte d’Ivoire and other countries in Africa and overseas. To prepare the product, cassava tubers are peeled, crushed, and fermented. Water in the fermented paste is removed by pressing and grains are formed, slightly dried and steam cooked. In household, stored attieke are warmed up by steaming before consumption. This file contains descriptive sensory data of Attieke that was collected using panel trained following a [standardized methodology]. The data was collected by CRNA team in Côte d'lvoire using RTBfoods [standard operating procedures] developed in work package 2 for the use by trained sensory panel. The cleaning of the data was conducted following guidelines as outlined in [RTBfoods manual].
Participatory Processing Data on Boiled Cassava generated by UAC-FSA in Benin

[Lien vers la fiche source] This dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the UAC-FSA team in Benin on Boiled Cassava, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
NIRS Calibration Database on fresh grated cassava for amylose at NaCRRI Uganda

[Lien vers la fiche source] This database contains 247 NIR spectra of cassava fresh grated samples acquired in NaCRII, Namulonge (Uganda), by using FOSS DS2500 NIR spectrometer. Cassava harvested at Namulonge (Ugnada) correspond to 94 genotype from various fields in 2022. This database contains also laboratory data measured on the same cassava roots samples: Amylose content expressed as percentage of starch.
Participatory Processing Data on Boiled Cassava generated by NaCRRI in Uganda

[Lien vers la fiche source] This dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the NaCRRI team in Uganda on Boiled Cassava, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Instrumental textural data for Boiled Cassava in Uganda

[Lien vers la fiche source] Cassava is often consumed in the boiled form in Africa, Asia and South America. The food product is easy to prepare by simply boiling in water. Most consumers prefer mealy, sufficiently soft, and easy to cook boiled cassava. This file contains instrumental textural data for Boiled Cassava that was collected by NaCCRI team in Uganda following [standard operating procedure]. The SOP describes the procedures for sampling, sample preparation, and measurement of texture parameters of boiled cassava using a texture analyzer.
Participatory Processing Data on Attieke generated by CNRA in Côte d'Ivoire

[Lien vers la fiche source] This dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the CNRA team in Côte d'Ivoire on Attieke, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Gendered Food Mapping Data on Boiled Cassava generated by UAC-FSA & IITA in Benin

[Lien vers la fiche source] This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the UAC-FSA & IITA team in Benin on Boiled Cassava, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Gendered Food Mapping Data on Boiled Cassava generated by NaCRRI in Uganda

[Lien vers la fiche source] This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the NaCRRI team in Uganda on Boiled Cassava, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Gendered Food Mapping Data on Gari generated by IITA & ENSAI in Cameroon

[Lien vers la fiche source] This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the IITA & ENSAI team in Cameroon on Gari, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Gendered Food Mapping Data on Attieke generated by CNRA in Cote d'Ivoire

[Lien vers la fiche source] This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the CNRA team in Cote d'Ivoire on Attieke, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Gendered Food Mapping Data on Fufu generated by NRCRI in Nigeria

[Lien vers la fiche source] This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the NRCRI team in Nigeria on Fufu, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Instrumental textural data for uniaxial extensibility of Fufu in Nigeria

[Lien vers la fiche source] Fufu, a fermented wet paste food product from cassava is a good source of dietary energy and is one of the widely consumed foods in Nigeria and other West African countries. This file contains instrumental textural data for uniaxial extensibility of Fufu that was collected by NRCRI team in Nigeria following [standard operating procedure].
Descriptive sensory analysis data for Fufu in Nigeria

[Lien vers la fiche source] Fufu is one of the popular fermented products processed from cassava roots and it is widely consumed in Nigeria and other West African countries. These files contains descriptive sensory data of fufu that was collected using panel trained following a [standardized methodology]. The data was collected by NRCRI team in Umudike, Nigeria using RTBfoods [standard operating procedures] developed in work package 2 for the use by trained sensory panel. The cleaning of the data was conducted following guidelines as outlined in [RTBfoods manual].
NIRS Calibration Database on Fufu flour for dry matter, pH, amylose, swelling power & solubility at NRCRI Nigeria

[Lien vers la fiche source] This database contains 168 spectra data of fufu flour samples acquired using the ASD QUALITY SPEC TREK NIRS device (S-10016). It also contains the laboratory values of the fufu flour samples which were used as the reference values for model development.
Gendered Food Mapping Data on Gari and Eba generated by IITA  in Nigeria

[Lien vers la fiche source] This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the IITA team in Nigeria on Gari and Eba, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Participatory Processing Data on Eba generated by IITA in Nigeria

[Lien vers la fiche source] This dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the IITA team in Nigeria on Eba, within the RTBfoods project (following the [Methodological Guidance]). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
Landscape matrix map at 2.25 km2 scale of a 84 km2 part of the Vavatenina District, Analanjirofo Region, Madagascar, 2019

[Lien vers la fiche source] This map gives the spatial distribution of the major land use in a cell of 1500m x 1500m=2.25 km2, also called the landscape matrix, over an area of study of landscape dynamics in Madagascar. It consists of an area of 84 square kilometers located at the West of Vavatenina town, in the Analanjirofo Region, on the North-East coast of Madagascar. This map is based on the very high spatial resolution land use / land cover map of the area produced for 2019 (doi:10.18167/DVN1/KDNOV4), processing a majority analysis inside sliding windows of 1500m in dimension. 7 types of land-uses were here identified as landscape matrix: diversified agroforests, introduced timber plantations, low-diversified and diversified woody fallow, bramble-dominated and diversified shrubby fallows, and annual crops or other short vegetation.
Antananarivo - Madagascar - 2022, Land use reference spatial database

[Lien vers la fiche source] This reference database in vector format (ESRI shape format) is organized according to a multi-level nomenclature. It is used to train an image classification algorithm in order to produce land cover maps of the Antananarivo metropolitan area (see dataverse sheets describing these maps). In order to simplify the work we chose to update the database produced in 2017 and described in: Dupuy et all, 2020 ([https://doi.org/10.1016/j.dib.2020.105952]). All polygons were verified by photo-interpretation of the Pleiades image acquired on April 3, 2022. GPS points were collected to update some classes and take into account changes since 2017. Each GPS point was converted into a polygon by digitizing the boundaries of the corresponding parcel on a Pleiades image (pixel size of 0.5 m * 0.5 m). These polygons cover the entire study area in order to have a representative view of the existing crop types and urban structures. The final database contains 3113 polygons. Warning, since December 5, 2022 we publish a new version to limit the effects related to flooding (the wetland class was overestimated on the previous version of land cover map).